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From logic to intelligence.

AI & Coding Program for Schools

A step-by-step pathway that takes students from visual block coding to Python and then to building their own simple AI projects in vision, speech and data. We provide the curriculum, train your teachers and support your school.

print("Hello, AI!")model.train(data)if dist < 20:
The Problem We Solve

Learning to Use AI Is Not Enough. Students Should Learn How It Works.

The problem

AI is already part of students' lives, but most schools teach it only as theory, or not at all. Students use AI tools without understanding data, bias or limits, and teachers often do not have a ready curriculum or the training to teach it.

Our approach

We give schools a complete program: a gradual path from simple logic to real AI projects, ready lesson plans, teacher training and support. Students do not only watch AI, they build and test it, and they discuss when it can be wrong.

Step by step

From visual blocks to Python to simple AI models.

Build and test

Students train a model, test it and study its mistakes.

Responsible AI

Bias, data quality and limits are a required part of the program.

How Students Learn

From Logic Blocks to Their Own AI Projects

Students move from drag-and-drop logic blocks to real Python, then to training and using simple AI models. Coding is taught as a way of thinking, not only a skill.

student@univerzia — ai-coding-track
>[LOGIC]Sequencing, loops, conditionals and variables using visual blocks.
>[SYNTAX]The move to real Python, including functions and data structures.
>[TRAIN]Students feed a model labeled data, test it and study where it fails.
>[ETHICS]Bias, data quality and the limits of AI, as a required discussion.
>[CAPSTONE]A real-world AI project chosen by the student.

Grade-wise path

  • Primary

    Grades

    1-5

    Focus

    Logical thinking and visual block coding

  • Middle

    Grades

    6-8

    Focus

    Block coding, first steps in Python, simple projects

  • High

    Grades

    9-12

    Focus

    Python, training simple AI models, capstone projects

Recognized: Plastic bottle

Recyclable waste being sorted at a facility
Plastic bottle: 94% confidence
What Is Included

What Your School Gets

  • Curriculum

    Details

    Grade-wise lesson plans and project sheets, aligned to NEP 2020.

  • Student platform

    Details

    Coding and AI tools that run in a normal web browser on standard school computers.

  • Teacher training

    Details

    Hands-on training so teachers can lead sessions without an AI background.

  • Projects

    Details

    A capstone project for each student or team, with a showcase.

  • Support

    Details

    Help on call and updates through the year.

Works on your existing computers

The AI training tools run in a browser on typical school lab machines, so most schools do not need new hardware.

Ways to start

  • Add to your existing computer lab periods.
  • Combine with a STEM and Robotics Lab.
  • Run on our LMS, so lessons, quizzes and certificates are in one place.

Pricing depends on your school's needs. Tell us about your school and we will send a plan and price.

Get a custom quote
What Students Build

Real AI Projects, Built by Students

A teenager smiling at an app on his phone
Grades 9-10

AI Vision

An image-recognition tool that sorts recyclable waste by material type, exploring dataset labeling and accuracy trade-offs.

Grades 9-10

Smart Traffic

A model traffic system that adjusts signal timing based on vehicle density, using sensor input and simple predictive logic.

Grades 10-12

Assistive Technology

A voice-assisted indoor navigation device concept for visually impaired users, built with usability in mind.

Grades 6-8

Picture Sorter

A block-coded program that learns to sort pictures into groups, a first look at how computers classify.

Program At A Glance

What This Program Delivers

5

Learning stages

Logic, Syntax, Train, Ethics, Capstone

3

Program levels

Primary, Middle and High School

3

AI project areas

Vision, Speech and Data

Skills students gain

  • Logical thinking and problem solving
  • Python programming
  • Working with data and training simple models
  • Testing, and spotting bias and errors
  • Presenting their own projects
Responsible AI

AI, Taught Responsibly

Ethics is a required stage, not an extra. Students discuss where training data comes from, how bias enters a model, why results can be wrong, and when a human must make the final decision.

Common Questions

Frequently Asked Questions

No. The AI training tools run in a standard browser on typical school lab machines.

Let's Build Together

Let's Bring AI and Coding to Your School.

Whether you need an ERP, an LMS, a STEM or Tinkering Lab, digital marketing, or all of them, our team will guide you from the first consultation to long-term success.